Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.05. 77.7 10.5 79.5 9.3 66.3 1.7 Internet Users Award Winners 77.9 5.6 57.7 3.2 38.7 D 0.1 30 30 30 30 90 90 90 90 Internet Users Internet Users Internet Users Internet Users The linear correlation coefficient r is (Round to three decimal places as needed.)

Average Income 19320 17554 17310 15589 15266 15078 12749 9351 8866 4952 3627 3412 2554 2296 1871 1809 1710 1621 1345 1282 1171 1109 1091 810 585 Average Life Expectancy 76.25 75.3 78.65 75.51 76.19 76.36 73.73 73.9 76.38 71.16 64.19 74.35 57.53 56.64 62.71 57.34 54.98 46.93 52.24 53.44 60.99 57.21 49.99 45.91 60.03 In this practice assignment, you will use spreadsheet regression or the online regression calculator at http://www.alcula.com/calculators/statistics/linear- regression to examine the relationship between average annual income and average life expectancy in a country. This relationship is called the Preston curve. Open QR 8D Spreadsheet_Practice, which gives the average annual income and average life expectancy in 25 low-income countries. Each row corresponds to a country. Use technology (spreadsheet regression or the Alcula website given above) to create a scatterplot and regression equation for the Preston curve data. Round all answer values to the nearest ten thousandth…

Can you help me with the p-value I answered 0.034 which is incorrect

Suppose you will perform a test to determine whether there is sufficient evidence